Planning Application and Challenges of Grid-Forming Energy Storage in Supporting New Power System Construction

XU Yuhao, SONG Chenhui, CAO Yijia, LI Chao, XIE Huifan, LIU Chunxiao, XIAO Jun

Electric Power Construction ›› 2026, Vol. 47 ›› Issue (6) : 1-16.

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Electric Power Construction ›› 2026, Vol. 47 ›› Issue (6) : 1-16. DOI: 10.12204/j.issn.1000-7229.2026.06.001
Key Technologies of Grid-Forming Equipment in High-Proportion New Energy Power Systems·Hosted by XIAO Jun, LI Chao, LIU Chunxiao, SONG Chenhui·

Planning Application and Challenges of Grid-Forming Energy Storage in Supporting New Power System Construction

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Abstract

[Objective] Under the "Carbon peaking and carbon neutrality" goals, as a critical technology for adapting power systems to high proportions of renewable energy, the application advantages of grid-forming energy storage (GFMES) have not been fully exploited. Therefore, there is an urgent need to clarify its active support mechanisms and planning methods across multiple scenarios in the new power system. [Methods] This paper summarizes the voltage support, frequency support, and inertia support mechanisms of GFMES from the perspective of grid-forming control. Planning methods are then reviewed for normal operating conditions, small-disturbance conditions, and large-disturbance conditions. Combined with engineering demonstrations, the planning roles, key requirements, and multi-condition coordination issues of GFMES are further analyzed in renewable energy export systems, HVDC receiving-end nearby grids, and microgrids. [Results] Existing studies have established condition-oriented planning frameworks: normal-operation planning mainly emphasizes techno-economic performance; small-disturbance planning focuses on system strength and frequency stability; large-disturbance planning highlights whole-process coordination of prevention, fault ride-through, and post-fault recovery. Meanwhile, the functional role, dominant constraints, and planning requirements of GFMES differ significantly across application scenarios. [Conclusions] GFMES planning exhibits strong scenario dependence and multi-condition coupling. System strength, voltage/frequency security margins, and fault recovery requirements are the key constraints governing siting and sizing. Future work should develop coordinated planning methods that jointly consider technical constraints and economic performance.

Key words

grid-forming energy storage (GFMES) / high-renewable-penetration power system / planning and configuration / application scenarios / active support

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XU Yuhao , SONG Chenhui , CAO Yijia , et al . Planning Application and Challenges of Grid-Forming Energy Storage in Supporting New Power System Construction[J]. Electric Power Construction. 2026, 47(6): 1-16 https://doi.org/10.12204/j.issn.1000-7229.2026.06.001

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目的 “双高”电力系统(高比例可再生能源和高比例电力电子设备)低惯性、低阻尼的特征使电网在频率、电压等稳定问题面临着严峻的挑战。构网型储能(grid-forming energy storage,GFM-ES)具有频率调节和电压控制的能力,针对其特性、应用场景和研究展望等方面进行综述。 方法 首先从GFM-ES和跟网型储能的区别以及控制方法等方面阐述了GFM-ES的主要特点;然后从频率支撑、电压支撑和黑启动等方面介绍了GFM-ES的主要应用场景;最后从GFM-ES的稳定性、优化配置和实际工程应用等方面提出了研究展望。 结论 构网型变流器的稳定性对储能机组的运行特性具有重要影响,需要进一步关注稳定问题的诱导原因、参数整定、控制和限流策略切换等;GFM-ES规划配置中,需要在功能性、复杂性、成本等方面进行权衡,以及构网型和跟网型储能的混合配置有待继续研究;加强GFM-ES机组之间的协调性和运行交互性,完善工程测试规范和标准,推动其在交直流混合电网及高压输电网络的应用。
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Objectives The characteristics of low inertia and low damping in “double-high” (high renewable energy penetration and high power electronics application) power system pose significant challenges to grid stability, particularly in terms of frequency and voltage. Grid-forming energy storage (GFM-ES), which has the capability of frequency regulation and voltage control, is reviewed in terms of its characteristics, application scenarios, and research outlook. Methods Firstly, the main characteristics of GFM-ES are described from the aspects of the differences between GFM-ES and grid-following energy storage, as well as the control methods. Then, the main application scenarios of GFM-ES, including frequency support, voltage support, and black start, are elaborated. Finally, the research outlook is presented, focusing on the stability, optimal configuration, and practical engineering applications of GFM-ES. Conclusions The stability of GFM converters has an important impact on the operational characteristics of energy storage units, and further attention needs to be paid to the induced causes of the stability problem, parameter tuning, and switching of control and current limiting strategies. The GFM-ES configuration requires trade-offs in terms of functionality, complexity, and cost, and the hybrid configuration of grid-forming and grid-following energy storage needs to be further investigated. Coordination and interoperability between GFM-ES units should be strengthened, and technical test specifications and standards should be improved to promote their application in hybrid AC-DC grids and high-voltage transmission grids.

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Abstract
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Abstract
风电、光伏等新能源大规模接入电网带来电力电量不平衡问题。对此,本工作提出考虑新能源电网调峰调频需求的储能优化配置方法。首先,建立典型日多时间尺度运行模拟模型用于量化储能参与系统调峰和频率响应的贡献,即兼顾碳足迹约束的日前调峰和兼顾联络线偏差控制的日内调频。然后,建立储能配置-运行双层优化模型,上层配置模型以系统年运行成本与储能等值年投资成本总和最小为目标决策储能容量,下层运行模型通过两阶段时序模拟刻画不同典型日下的多时间尺度运行。该双层优化问题通过差分进化算法+Gurobi求解器的混合算法求解。最后,算例表明考虑储能参与双重应用场景的配置结果更为合理,系统运行总成本更低、碳排放更少。
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Abstract
为了应对新能源惯量不足的问题,构网型储能中的虚拟同步机控制技术得到了不断发展,而其为系统提供了惯量支撑的同时也会引发系统的功率振荡,降低系统的功角稳定性。针对此问题,文章阐释了虚拟同步机惯量、阻尼参数对系统稳定性的影响机理,并提出了虚拟同步机的参数优化策略。该策略同时考虑系统的频率稳定性与小干扰稳定性,建立目标函数优化模型,以最大频率偏差最小与系统振荡模式的阻尼比之和最大为目标函数,将各控制参数的稳定区间作为约束条件,并运用带有精英策略的快速非支配排序遗传算法(nondominated sorting genetic algorithm II,NSGA-Ⅱ)求解。最后,通过仿真验证了此方法的有效性。
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To deal with the problem of insufficient inertia of new energy, the control technology of virtual synchronous generators (VSG) in grid-forming energy storage has been continuously developed, which provides inertia support for the system while causing power oscillation and reducing the power angle stability of the system. To solve this problem, the mechanism of the influence of the virtual inertia and virtual damping parameters of the virtual synchronous generator on the system stability is explained, and a parameter optimization strategy is proposed for the virtual synchronous generator. This strategy simultaneously considers the frequency stability and small-signal stability of the system to establish an objective function optimization model. The objective function minimizes the maximum frequency deviation and the maximum sum of the damping ratio of the system oscillation mode. The stability interval of each control parameter is considered the constraint condition. The strategy was solved using a fast non-dominated sequencing genetic algorithm (NSGA-II) with an elite strategy. Finally, the effectiveness of this method is verified through a simulation.
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Footnotes

利益冲突声明(Conflict of Interests): 所有作者声明不存在利益冲突。

Funding

National Natural Science Foundation of China(52307079)
China Postdoctoral Science Foundation(2025M780479)
Furong Plan for Young Talents of Hunan Province(2025QT-91)
Natural Science Foundation of Hunan Province(2024JJ6050)
Science and Technology Project of China Southern Power Grid(ZDKJXM20250036)
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